CN106919717A - A kind of family based on big data and image recognition conserves the APP of asparagus fern - Google Patents
A kind of family based on big data and image recognition conserves the APP of asparagus fern Download PDFInfo
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- CN106919717A CN106919717A CN201710148206.2A CN201710148206A CN106919717A CN 106919717 A CN106919717 A CN 106919717A CN 201710148206 A CN201710148206 A CN 201710148206A CN 106919717 A CN106919717 A CN 106919717A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
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Abstract
The invention discloses the APP that a kind of family based on big data and image recognition conserves asparagus fern, it is characterized in that the cauline leaf for scanning asparagus fern with camera after User logs in APP spends position, to cloud server, it is asparagus fern and its growing state and pest and disease damage situation that cloud server uses image recognition technology sentence section to go out the sample to the automatic image datas and geographic location data is activation by asparagus fern sample of APP；The data similar to the close growing state in sample geographical position are transferred in asparagus fern large database concept again to compare, so as to draw the maintenance process for the sample asparagus fern and push on APP.Through the above way, the present invention can allow the user for not possessing asparagus fern maintenance knowledge completely that the simple operations for sweeping are swept using APP, it is analyzed rapidly and accurately to the asparagus fern growing state transplanted, instructs user to take the measure of the scientific and reasonable prevention and control of plant diseases, pest control Yu routine servicing.
Description
Technical field
The present invention relates to big data and field of image recognition, more particularly to a kind of family based on big data Yu image recognition
Front yard conserves the APP of asparagus fern.
Background technology
With the raising that city dweller is required domestic environment, the user of family plant asparagus fern is more and more, yet with
The crowd of floriculture at home lacks professional knowledge, and main purpose to enjoy the enjoyment that asparagus fern brings life mostly, and non-study
Those for city dweller and very strange agricultural knowledges, and Urban population rhythm of life is fast, learns originally uninterested
The time and efforts of agricultural knowledge is few, but asparagus fern is a kind of relatively enervated flower variety, and maintenance is improper to be subject to pest and disease damage
Injury, when oneself plantation asparagus fern occur pest and disease damage when, it tends to be difficult to the naked eye the experience with oneself tells pest and disease damage
Type is suited the remedy to the case so as to be difficult to find that correct method, and traditional way is to be uploaded to internet forum after taking pictures, and seeks help it
Other people, but this method slowly effect, and when running into online friend each sticks to his own version or argument, user is difficult to differentiate and take correct measure, causes
The pest and disease damage that asparagus fern is suffered from is delayed treatment, the consequence for causing undergrowth even dead, and a kind of based on big data and image
The APP of the family maintenance asparagus fern of identification uses big data and image recognition technology, has provided the user the help of cloud computing, can
Allow be ignorant of completely asparagus fern maintenance knowledge user also can most timely to sample asparagus fern implement science maintenance measure.
The content of the invention
Asparagus fern is conserved the present invention solves the technical problem of a kind of family based on big data and image recognition is provided
APP, the user for not possessing asparagus fern maintenance knowledge completely can be allowed by the cauline leaf of mobile phone camera the transplanted asparagus fern of scanning
Flower position can just reach the rapid routine servicing method for precisely recognizing asparagus fern institute illness insect pest type and prophylactico-therapeutic measures and asparagus fern,
Instructing user carries out the maintenance of asparagus fern.
In order to solve the above technical problems, one aspect of the present invention is：A kind of big data that is based on is provided with figure
As the family of identification conserves the APP of asparagus fern, comprise the following steps：
Step one：The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data
The APP of asparagus fern is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, it is each
One APP user of individual APP node on behalf；
Step 2：When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode
It is sent to the big data analysis system in high in the clouds；
Step 3：User opens APP Built-in Images identification function, and scans the cauline leaf of asparagus fern respectively with smart mobile phone camera
Position and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image and known
Other analysis system；
Step 4：High in the clouds image recognition analysis system according at the user obtain several Zhang Wenzhu samples pictures, through artificial intelligence
Image identification system picks out the flowers for asparagus fern, and information identification in stem, leaf, flower samples pictures goes out sample text
Whether bamboo suffers from the species and degree of pest and disease damage and ill insect pest；
Step 5：The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this
The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided
With ill insect pest information, the maintenance side of the science under automatic search and this article bamboo planting location and growing state under similar environment
Method and pest management method；
Step 6：The science that the asparagus fern of the sample that high in the clouds big data analysis system obtains cloud computing should take correctly is supported
Maintaining method is transferred to the smart mobile phone APP of the user, and mobile phone A PP feeds back final result by the screen and loudspeaker of smart mobile phone
Give the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the asparagus fern, in certain number of days
Afterwards, the result whether asparagus fern growing state is effectively improved is fed back to APP by user；
Step 8：APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback,
Then by its typing large database concept, help is provided for the user for after；Such as the sample obtains negative feedback, then require user again
It is secondary that stem, leaf, the scanned picture data of flower of the asparagus fern are provided, and large database concept is labeled, repeat step step 4 extremely
Step 8, untill stopping feedback when the positive feedback or user that user is obtained in step 8 are in step 7.
Further, APP is using the same text that the same place place of the positional information of user and scanning input is transplanted
The stem of bamboo, leaf, the pictorial information of three key positions is spent to be transferred to cloud server, the image identification system of cloud server will
Mass data in database is compared with the sample data information, draws the entitled asparagus fern of the plant and its disease and insect information；Cloud
The big data analysis system at end by the category information combining position information of the sample and large database concept with same pest and disease damage
Asparagus fern treating method combine plantation area the characteristics of, after comparing, draw the optimal maintenance solution of the sample asparagus fern
Certainly scheme, and the program is transferred to user mobile phone.
Further, APP is given the user after sample asparagus fern most preferably conserves solution, is possessed user and is launched real to asparagus fern
Apply the feedback function after scheme, and the feedback by information and check and correction, contribute to high in the clouds large data center database it is abundant
With renewal, be allowed to the self-teaching function of possessing machine while analyze data, allow cloud computing result with user's sample
Amount increasing and it is more accurate.
The beneficial effects of the invention are as follows：Geographical location information and asparagus fern cauline leaf flower photo that the present invention is sent by user
Information, the asparagus fern database information planted with each department of magnanimity on cloud computing server using image recognition technology is compared
It is right, the prevention and control of plant diseases, pest control and maintenance measure for user's asparagus fern growing state are drawn, and it is by APP of the invention that result is anti-
User mobile phone is fed to, is run into during solving the problems, such as user maintenance asparagus fern, reduce the maintenance of user learning asparagus fern related
The work of knowledge, makes the life of user more fine.
Brief description of the drawings
Fig. 1 is a kind of control flow chart of the APP of the family maintenance asparagus fern based on big data and image recognition of the present invention.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.
As shown in figure 1, being the APP that a kind of family based on big data and image recognition conserves asparagus fern, comprise the following steps：
Step one：The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data
The APP of asparagus fern is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, it is each
One APP user of individual APP node on behalf；
Step 2：When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode
It is sent to the big data analysis system in high in the clouds；
Step 3：User opens APP Built-in Images identification function, and scans the cauline leaf of asparagus fern respectively with smart mobile phone camera
Position and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image and known
Other analysis system；
Step 4：High in the clouds image recognition analysis system according at the user obtain several Zhang Wenzhu samples pictures, through artificial intelligence
Image identification system picks out the flowers for asparagus fern, and information identification in stem, leaf, flower samples pictures goes out sample text
Whether bamboo suffers from the species and degree of pest and disease damage and ill insect pest；
Step 5：The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this
The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided
With ill insect pest information, the maintenance side of the science under automatic search and this article bamboo planting location and growing state under similar environment
Method and pest management method；
Step 6：The science that the asparagus fern of the sample that high in the clouds big data analysis system obtains cloud computing should take correctly is supported
Maintaining method is transferred to the smart mobile phone APP of the user, and mobile phone A PP feeds back final result by the screen and loudspeaker of smart mobile phone
Give the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the asparagus fern, in certain number of days
Afterwards, the result whether asparagus fern growing state is effectively improved is fed back to APP by user；
Step 8：APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback,
Then by its typing large database concept, help is provided for the user for after；Such as the sample obtains negative feedback, then require user again
It is secondary that stem, leaf, the scanned picture data of flower of the asparagus fern are provided, and large database concept is labeled, repeat step step 4 extremely
Step 8, untill stopping feedback when the positive feedback or user that user is obtained in step 8 are in step 7.
Claims (3)
1. a kind of family based on big data and image recognition conserves the APP of asparagus fern, it is characterised in that comprise the following steps：
Step one：The smart mobile phone hardware that high-definition camera will be carried is carried and a kind of supported with the family of image recognition based on big data
The APP of asparagus fern is protected, by APP using being connected with image identification system with high in the clouds big data, smart mobile phone APP nodes is built, it is each
One APP user of individual APP node on behalf；
Step 2：When User logs in APP is applied, APP automatically passes the APP application messages of user geographical position, traveling mode
It is sent to the big data analysis system in high in the clouds；
Step 3：User opens APP Built-in Images identification function, and scans the cauline leaf of asparagus fern respectively with smart mobile phone camera
Position and flower position, APP sends prompt tone after scanning successfully, and the pictorial information that will be scanned is transmitted to high in the clouds image and known
Other analysis system；
Step 4：High in the clouds image recognition analysis system according at the user obtain several Zhang Wenzhu samples pictures, through artificial intelligence
Image identification system picks out the flowers for asparagus fern, and information identification in stem, leaf, flower samples pictures goes out sample text
Whether bamboo suffers from the species and degree of pest and disease damage and ill insect pest；
Step 5：The big data analysis system in high in the clouds combines the positional information and current temporal information of the user, excavates this
The landform of user position, landforms, climatic information, and combine the species of the sample plant that high in the clouds image identification system is provided
With ill insect pest information, the maintenance side of the science under automatic search and this article bamboo planting location and growing state under similar environment
Method and pest management method；
Step 6：The science that the asparagus fern of the sample that high in the clouds big data analysis system obtains cloud computing should take correctly is supported
Maintaining method is transferred to the smart mobile phone APP of the user, and mobile phone A PP feeds back final result by the screen and loudspeaker of smart mobile phone
Give the user；
Step 7：User takes corresponding maintenance measure according to the answer that APP applications are given to the asparagus fern, in certain number of days
Afterwards, the result whether asparagus fern growing state is effectively improved is fed back to APP by user；
Step 8：APP sends to high in the clouds big data analysis system the feedback of user, and such as sample obtains effective Feedback,
Then by its typing large database concept, help is provided for the user for after；Such as the sample obtains negative feedback, then require user again
It is secondary that stem, leaf, the scanned picture data of flower of the asparagus fern are provided, and large database concept is labeled, repeat step step 4 extremely
Step 8, untill stopping feedback when the positive feedback or user that user is obtained in step 8 are in step 7.
2. a kind of family based on big data and image recognition according to claim 1 conserves the APP of asparagus fern, and its feature exists
In：APP is applied the stem of the same asparagus fern of the same place place plant of the positional information of user and scanning input, leaf, is spent three
The pictorial information of individual key position is transferred to cloud server, and the image identification system of cloud server is by the magnanimity in database
Data are compared with the sample data information, draw the entitled asparagus fern of the plant and its disease and insect information；The big data analysis in high in the clouds
System does the treatment of the asparagus fern with same pest and disease damage in the category information combining position information of the sample and large database concept
The characteristics of method combines plantation area, after comparing, draws the optimal maintenance solution of the sample asparagus fern, and by the party
Case is transferred to user mobile phone.
3. a kind of family based on big data and image recognition according to claim 1 conserves the APP of asparagus fern, and its feature exists
In：APP is given the user after sample asparagus fern most preferably conserves solution, is possessed user and is launched the feedback after embodiment to asparagus fern
Function, and the feedback by information and check and correction, contribute to the abundant and renewal of the large data center database in high in the clouds, are allowed to dividing
Possess the self-teaching function of machine while analysis data, allow the result of cloud computing to be more defined with increasing for user's sample size
Really.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148206.2A CN106919717A (en) | 2017-03-14 | 2017-03-14 | A kind of family based on big data and image recognition conserves the APP of asparagus fern |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710148206.2A CN106919717A (en) | 2017-03-14 | 2017-03-14 | A kind of family based on big data and image recognition conserves the APP of asparagus fern |
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| CN106919717A true CN106919717A (en) | 2017-07-04 |
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| CN201710148206.2A Pending CN106919717A (en) | 2017-03-14 | 2017-03-14 | A kind of family based on big data and image recognition conserves the APP of asparagus fern |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104318108A (en) * | 2014-10-28 | 2015-01-28 | 刘芳 | Plant cultivation method and device |
| CN105787446A (en) * | 2016-02-24 | 2016-07-20 | 上海劲牛信息技术有限公司 | Smart agricultural insect disease remote automatic diagnosis system |
-
2017
- 2017-03-14 CN CN201710148206.2A patent/CN106919717A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104318108A (en) * | 2014-10-28 | 2015-01-28 | 刘芳 | Plant cultivation method and device |
| CN105787446A (en) * | 2016-02-24 | 2016-07-20 | 上海劲牛信息技术有限公司 | Smart agricultural insect disease remote automatic diagnosis system |
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Application publication date: 20170704 |